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. 2020 Feb 19;33(2):161–175. doi: 10.1007/s10548-020-00755-8

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 6 — The results of the deep source localization for the numerical experiments (A–I) conducted in the spherical domain (Table 3). The distributions of the position (mm), angle (°) and relative logarithmic (log10) amplitude difference to the exact dipole source, computed in the ROI, have been analyzed as histograms. The sample size is 50. Each reconstruction in the sample has been obtained by reconstructing the activity in the whole brain for an independent random realization of the noise vector and associating the total integrated activity in each ROI to the corresponding (deep or superficial) dipole source. Additionally, the histogram of the relative maximum in the ROI is given. The solid vertical line shows the median for each distribution, and the dashed lines mark the 90% confidence interval. In general, the results show that the IG hyperprior is necessary for detecting the deep source. The accuracy and reliability of the results increase along with the number of multiresolution decompositions. Furthermore, using E/MEG instead of EEG increased the accuracy of the deep source localization, while EEG was advantageous with respect to the amplitude of the deep source. The results are not visualized for the cases in which the localization criterion (relative maximum > 0.05) was satisfied by less than 5% of the reconstructions